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Proportional Measurement Error

login Login Username * Password * Forgot your sign in details? Need to activate BMA members Sign in via OpenAthens Sign in via your institution Edition: International US UK South Asia Toggle navigation The BMJ logo Site map Search Search form SearchSearch Advanced search Search responses Search blogs Toggle top menu ResearchAt a glance Research papers Research methods and reporting Minerva Research news EducationAt a glance Clinical reviews Practice Minerva Endgames State of the art News & ViewsAt a glance News Features Editorials Analysis Observations Head to head Editor's choice Letters Obituaries Views and reviews Rapid responses Campaigns Archive For authors Jobs Hosted Statistics Notes:... Statistics Notes: Measurement error proportional to the mean Education And Debate Statistics Notes: Measurement error proportional to the mean BMJ 1996; 313 doi: http://dx.doi.org/10.1136/bmj.313.7049.106 (Published 13 July 1996) Cite this as: BMJ 1996;313:106 Article Related content Metrics Responses Peer review J Martin Bland, professor of medical statisticsa, Douglas G Altman, headba Department of Public Health Sciences, St George's Hospital Medical School, London SW17 0REb ICRF Medical Statistics Group, Centre for Statistics in Medicine, Institute of Health Sciences, PO Box 777, Oxford OX3 7LFCorrespondence to: Professor Bland.We often need to know the error with which measurements are made—for example, so that we can decide whether the change in a clinical observation represents a real change in a patient's condition. We have discussed previously the within-subject standard deviation as a practical index of measurement error.1 We said that this approach should be used when the measurement error was not related to the magnitude of the measurement and recommended that we plot the subject standard de

Login Help Contact Us About Access You are not currently logged in. Access your personal account or get JSTOR https://www.jstor.org/stable/2532348 access through your library or other institution: login Log in to your personal account or through your institution. If You Use a Screen ReaderThis content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF proportional measurement copy for your screen reader. Biometrics Vol. 48, No. 3, Sep., 1992 Proportional Hazards... Proportional Hazards Model with Covariates Subject to Measurement Error Tsuyoshi Nakamura Biometrics Vol. 48, No. 3 (Sep., 1992), pp. 829-838 Published by: International Biometric Society DOI: 10.2307/2532348 Stable URL: http://www.jstor.org/stable/2532348 Page Count: 10 Read Online (Free) Download ($14.00) Subscribe ($19.50) Cite this Item Cite proportional measurement error This Item Copy Citation Export Citation Export to RefWorks Export a RIS file (For EndNote, ProCite, Reference Manager, Zotero…) Export a Text file (For BibTex) Note: Always review your references and make any necessary corrections before using. Pay attention to names, capitalization, and dates. × Close Overlay Journal Info Biometrics Description: Biometrics is a scientific journal emphasizing the role of statistics and mathematics in the biological sciences. Its object is to promote and extend the use of mathematical and statistical methods in pure and applied biological sciences by describing developments in these methods and their applications in a form readily assimilable by experimental scientists. JSTOR provides a digital archive of the print version of Biometrics. The electronic version of Biometrics is available at http://www.blackwell-synergy.com/servlet/useragent?func=showIssues&code=biom. Authorized users may be able to access the full text articles at this site. Moving Wall Moving Wall: 5 years (What is the moving wall?) Moving Wall The "moving wall" represents the time period between the last issue available in JSTOR and the most recently published issu

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